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Hands-on question answering systems with BERT applications in neural networks and natural language processing

Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning. The book begins with an overview of the technology landscape behind BERT. It takes you thr...

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Bibliographic Details
Main Authors: Sabharwal, Navin, Agrawal, Amit (Author)
Format: eBook
Language:English
Published: [Berkeley, California] Apress 2021
Subjects:
Réseaux Neuronaux (informatique)
Neural Networks (computer Science) / Fast
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Natural Language Processing
Computer Software / Fast
Neural Networks, Computer
Neural Networks (computer Science) / Http://id.loc.gov/authorities/subjects/sh90001937
Machine Learning / Fast
Apprentissage Automatique
Traitement Automatique Des Langues Naturelles
Natural Language Processing (computer Science) / Fast
Machine Learning
Natural Language Processing (computer Science) / Http://id.loc.gov/authorities/subjects/sh88002425
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references and index
  • Introduction to Natural Language Processing
  • Neural Networks for Natural Language Processing
  • Introduction to Word Embeddings
  • BERT Algorithms Explained
  • BERT Model Applications : Question Answering System
  • BERT Model Applications : Other tasks
  • Future of BERT models

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